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131
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ICML
2006
IEEE
16 years 5 months ago
Learning hierarchical task networks by observation
Knowledge-based planning methods offer benefits over classical techniques, but they are time consuming and costly to construct. There has been research on learning plan knowledge ...
Negin Nejati, Pat Langley, Tolga Könik
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
15 years 8 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
NIPS
2007
15 years 6 months ago
Discriminative Batch Mode Active Learning
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
Yuhong Guo, Dale Schuurmans
ICALT
2008
IEEE
15 years 11 months ago
Expertise Measure for Dynamic Task Selection within Intelligent Educational Systems
This paper presents a task selection model for personalised educational instruction. The proposed model is based on the student expertise level and it takes into account performan...
François Courtemanche, Mehdi Najjar, Andr&e...
149
Voted
DATE
2005
IEEE
150views Hardware» more  DATE 2005»
15 years 10 months ago
Pueblo: A Modern Pseudo-Boolean SAT Solver
This paper introduces a new SAT solver that integrates logicbased reasoning and integer programming methods to systems of CNF and PB constraints. Its novel features include an eff...
Hossein M. Sheini, Karem A. Sakallah